team-tasks-skipCoordinate multi-agent development pipelines using shared JSON task files. Use when dispatching work across dev team agents (code-agent, test-agent, docs-age...
Install via ClawdBot CLI:
clawdbot install zdp1117/team-tasks-skipGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/openclaw/openclawAudited Apr 17, 2026 · audit v1.0
Generated May 19, 2026
Manage end-to-end feature development by dispatching tasks to code-agent, test-agent, docs-agent, and monitor-bot sequentially. Track progress and handle failures automatically.
Coordinate bug fixes by assigning the fix to the code-agent, requiring tests from test-agent, and updating documentation via docs-agent. Use the linear mode to enforce order.
For larger projects with independent modules, use DAG mode to dispatch parallel tasks to multiple agents when their dependencies are met, reducing overall pipeline time.
Use the pipeline to onboard new agent teams by initializing a project, assigning clear tasks, and monitoring progress through the status command, ensuring consistent handoffs.
Integrate with CI/CD by triggering a pipeline after each commit: code-agent reviews, test-agent runs tests, docs-agent updates docs, and monitor-bot reports results.
Offer a tiered subscription where customers get access to a team of AI agents for automated software development pipelines. Revenue comes from monthly or annual fees per pipeline execution.
Charge per pipeline run, ideal for occasional users. Each linear or DAG dispatch incurs a fee, providing flexibility for small teams or startups.
License the skill package to enterprises for internal use, including customization of agents, pipeline templates, and integration with existing tools. Revenue from licensing and consulting fees.
💬 Integration Tip
To integrate, call the task_manager.py CLI from your orchestrator (e.g., a bash script or AGI rule). For automatic dispatch, use sessions_send to talk to agents and capture their replies via the returned session ID.
Scored Jul 3, 2026
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